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lead-generation

Here are 60 public repositories matching this topic...

google-maps-scraper

👋 HOLA 👋 HOLA 👋 HOLA ! ENJOY OUR GOOGLE MAPS SCRAPER 🚀 TO EFFORTLESSLY EXTRACT DATA SUCH AS NAMES, ADDRESSES, PHONE NUMBERS, REVIEWS, WEBSITES, AND RATINGS FROM GOOGLE MAPS WITH EASE! 🤖

  • Updated Dec 6, 2024

With Linked Social Toolkit [LST] you can like posts & comments, send birthday wishes, work anniversary wishes & new job wishes, send messages to connections, auto respond to messages, connect, remove, follow, view & endorse connections, withdraw & accept invitations, get connections information...

  • Updated Sep 18, 2022

Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.

  • Updated Mar 17, 2021
  • Jupyter Notebook
g2-scraper

G2 Scraper helps you collect G2 product data, including names, product descriptions, reviews, ratings, comparisons, alternatives, and more.

  • Updated Aug 14, 2024
  • TypeScript

Automate lead qualification and outreach with AI-driven lead research, comprehensive insights, and personalized outreach materials generation across multiple CRMs (Hubspot, sheet or Airtable) using data from LinkedIn, company webpages, and social media.

  • Updated Dec 9, 2024
  • Python

This case study involves helping X Education, an education company, improve its lead conversion rate by building a logistic regression model to assign lead scores. The aim is to identify potential leads with the highest chances of converting to paying customers and handling future problems to achieve a target conversion rate of 80%.

  • Updated Feb 28, 2023
  • Jupyter Notebook

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